198 postdoctoral-image-processing-in-computer-science-"U" positions at University of Adelaide in Australia
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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research unit or comparable environment Ability to provide advice and support to post graduate students Computer literacy including skills in data management, analysis and presentation. Excellent written and
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competitive salary commensurate with applicant experience and skill, an employer contribution of 17% superannuation plus Shift loadings where applicable. South Australian Veterinary Registration costs paid
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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in accordance with PSBA’s standards. You will lead the nodes lifecycle management program for biotechnology derived plants and plant products. The Faculty of Sciences, Engineering and Technology (SET
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Job no:516893 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level B, Level C, Faculty of Sciences, Engineering and Technology (Level B or C) $114,917 - $161,145 per annum plus
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the forefront of cancer systems biology, uniquely combining computational and predictive modelling with experimental approaches to tackle major challenges in cancer treatment. Our innovative research spans from